Description

What you'll be doing:

 Designing and supporting mechanisms for coordinating and maintaining large-scale semiconductor design tasks across multiple global datacenters.

Owning the architecture of one or more platform components — defining interfaces, data models, and service boundaries that can scale and evolve.

Leading the modernization of legacy services — evaluating existing Perl and Python backends, proposing migration strategies, and driving execution with the team.

Debugging and improving production services spanning web browsers, containerized microservices, and bare-metal Linux hosts.

Building and improving web interfaces to configure, launch, and analyze EDA tools and design flows.

Mining and analyzing large datasets of job execution telemetry and tool quality-of-results data to improve flows and catch regressions.

Mentoring junior engineers and contributing to design reviews and technical standards across the team.

Helping invent next-generation semiconductor design methodology.

Optionally, contributing directly to the physical design of GPU, CPU, SoC, and networking products — a rare opportunity for an infrastructure engineer.

What we want to see:

Bachelor's or master's degree in computer science or computer systems engineering (or equivalent experience).

5+ years of software engineering experience, with a track record of designing and delivering production systems.

Strong software architecture and design skills — experience defining service boundaries, APIs, data models, and system interfaces.

Proficiency in Python and/or Perl; comfort with JavaScript and web technologies.

Experience with distributed systems at meaningful scale.

Proven ability to lead a project through its full lifecycle, from requirement solicitation to architecture design, to implementation, to maintenance and support. 

Comfort owning and debugging Linux-based production services.

Ways to stand out from the crowd:

Experience with workflow orchestration systems (Airflow, Argo, Temporal, Luigi, or similar).

Experience with containerization technologies such as Docker or Kubernetes.

Familiarity with Elasticsearch / Kibana / Vega for telemetry and dashboarding.

Experience with MSSQL/Mysql/SQLite or other relational and NoSQL datastores.

Exposure to Static Timing Analysis or VLSI physical design

Key Skills

Education

Any Graduate